Name: Using Classification and Regression Trees: A Practical Primer (en Inglés)
Price: 256756.00 COP
Availability: InStock
Author: Xin Ma
ISBN: 9781641132374

portada Using Classification and Regression Trees: A Practical Primer (en Inglés)

Formato

Libro Físico

Editorial

Information Age Publishing

Autor

Xin Ma

Año

2018

Idioma

Inglés

N° páginas

166

Encuadernación

Tapa Blanda

ISBN13

9781641132374

Categorías

Teoría de la decisión
Educación

Using Classification and Regression Trees: A Practical Primer (en Inglés)

Xin Ma (Autor) · Information Age Publishing · Tapa Blanda

Libro Nuevo

$ 256.756

$ 513.512

Ahorras: $ 256.756

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Martes 21 de Mayo y el Martes 04 de Junio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Using Classification and Regression Trees: A Practical Primer (en Inglés)"

Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART. This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART. The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.